tedana.io.write_split_ts

write_split_ts(data, mmix, mask, comptable, ref_img, out_dir='.', suffix='')[source]

Splits data into denoised / noise / ignored time series and saves to disk

Parameters

  • data ((S x T) array_like) – Input time series

  • mmix ((C x T) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in data

  • mask ((S,) array_like) – Boolean mask array

  • ref_img (str or img_like) – Reference image to dictate how outputs are saved to disk

  • out_dir (str, optional) – Output directory.

  • suffix (str, optional) – Appended to name of saved files (before extension). Default: ‘’

Returns

varexpl (float) – Percent variance of data explained by extracted + retained components

Notes

This function writes out several files:

Filename

Content

hik_ts_[suffix].nii

High-Kappa time series.

midk_ts_[suffix].nii

Mid-Kappa time series.

low_ts_[suffix].nii

Low-Kappa time series.

dn_ts_[suffix].nii

Denoised time series.